find-candidates

Identify and log dictionary vocabulary candidates with corpus-informed screening.

8|Updated Jan 6, 2026

Search Tags:#vocabulary #duplication #process #candidates #dictionary #corpus #linguistics

Ready to run

npx skills add https://github.com/tkgally/je-dict-1 --skill find-candidates

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: find-candidates
Source: https://github.com/tkgally/je-dict-1/tree/main/.claude/skills/find-candidates
Command: npx skills add https://github.com/tkgally/je-dict-1 --skill find-candidates

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Facilitates the systematic discovery and vetting of new vocabulary candidates to enrich candidate_words.json for dictionary expansion, reducing duplicates and maintaining editorial quality.

Core Features & Use Cases

Structured screening: evaluates frequency, centrality, and proper-noun exclusions to identify viable candidates.
Candidate integration: adds qualified words to candidate_words.json via the manage_candidates script with concise notes.
Audit-ready reporting: provides a clear summary of additions, rejections, and rationale for editorial review.

Quick Start

Ask me to start the candidate discovery process to identify and log new word candidates.

Frequently Asked Questions about find-candidates

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I find new dictionary candidate words from a text corpus?▼

Finding new dictionary candidate words involves applying corpus-informed screening across frequency, relevance, and non-proper-noun constraints to produce a vetted list of entries suitable for general tier development.

What is the best way to avoid duplication when expanding a vocabulary dictionary?▼

Avoiding duplication when expanding a vocabulary dictionary requires satisfying explicit criteria checks against existing entry indices and candidate lists, ensuring previously logged words are excluded before new additions are made.

How do I screen corpus frequency to identify viable vocabulary candidates?▼

Screening corpus frequency to identify viable vocabulary candidates means evaluating word centrality and applying proper-noun exclusions, ensuring only high-quality entries matching your constraints are surfaced for editorial review.

Can I add qualified words to candidate_words.json with editorial notes automatically?▼

Yes, you can add qualified words to candidate_words.json with concise notes via the manage_candidates script, integrating vetted vocabulary candidates directly into your dictionary expansion workflow.

How do I generate an audit-ready report for dictionary candidate additions and rejections?▼

Generating an audit-ready report for dictionary candidate additions and rejections involves producing a structured summary that details the rationale for each editorial decision, providing clear tracking for quality review.